Worth to read
I prepared this material based on
Books
- B1 Daniel G. McCreary and Ann M. Kelly, Making Sense of NoSQL. A guide for managers and the rest of us, Manning Publications, 2013, https://www.manning.com/books/making-sense-of-nosql
- B2 Harrison, Guy, Next Generation Databases. NoSQL, NewSQL, and Big Data, Apress, 2015, http://www.apress.com/us/book/9781484213308
- B3 Eric Redmond and Jim R. Wilson, Seven Databases in Seven Weeks. A Guide to Modern Databases and the NoSQL Movement, The Pragmatic BookShelf, 2012, https://pragprog.com/book/rwdata/seven-databases-in-seven-weeks
- B4 Dan Sullivan, NoSQL for Mere Mortals, Adison-Wesley, Inc. 2015, http://www.informit.com/store/nosql-for-mere-mortals-9780134023212
- B5 Gaurav Vaish, Getting Started with NoSQL, Packt Publishing, 2013, https://www.packtpub.com/big-data-and-business-intelligence/getting-started-nosql
- B6 Nishant Garg, HBase Essentials, Packt Publishing, 2014
- B7 Kelvin R. Lawrence, PRACTICAL GREMLIN: An Apache TinkerPop Tutorial/em>, Version 281-Preview, November 18th 2018, http://kelvinlawrence.net/book/Gremlin-Graph-Guide.html
WWW
- W1 Apache HBase Reference Guide
- W2 2. Quick Start - Standalone HBase
- W16 Is MapReduce anything more than just an application of divide and conquer?
- W17 What is the novelty in MapReduce?
- W9 A brief history of JSON
- W18 Introduction to Views
- W19 View Cookbook for SQL Jockeys
- W3 Cypher Query Language. Intro to Cypher
- W4 Neo4j Cypher Refcard 3.3
- W5 The Fundamentals of Cypher
- W6 Getting started with Neo4j and Cypher
- W7 Apache TinkerPop. The Gremlin Graph Traversal Machine and Language
- W8 Apache TinkerPop
- W10 SPARQL
- W11 Everything Should Be Made as Simple as Possible, But Not Simpler
- W12 DBMS popularity broken down by database model
- W13 Top 10 Time Series Databases
- W14 Time Series Database (TSDB) Explained. What is a Time Series Database?
- W15 What the heck is time-series data (and why do I need a time-series database)?
- W18 Amazon S3, retrieved 2019-01-03
- W19 UX Best Practices: How to Design Scannable App Screenshots, retrieved: 2018-11-06
- W20 Why 7 seconds could make or break your mobile app, access: 2018-11-06
- W21 The beginning of the end of NoSQL
- W22 What we talk about when we talk about NewSQL
- W23 NewSQL — The New Way to Handle Big Data
- W24 What’s Really New with NewSQL? (article)
- W25 New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps
- W26 Data Never Sleeps 5.0, retrieved: 2019-02-16
- W27 How Much Data Is Generated Every Minute?, retrieved: 2019-02-16
- W28 How Much Data is Created on the Internet Each Day?, retrieved: 2019-02-16
- W29 How much data do we create every day? , retrieved: 2019-02-16
- W30 How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read, retrieved: 2019-02-16
- W31 Big Data characteristics
Articles
- A1https://research.google.com/archive/gfs.html
- A2https://research.google.com/archive/mapreduce.html
- A3https://research.google.com/archive/bigtable.html
- A4os-riak1-pdf.pdf
- A5os-riak2-pdf.pdf
- A6Rodriguez, M.A., The Gremlin Graph Traversal Machine and Language, ACM Proceedings of the 15th Symposium on Database Programming Languages, pages 1-10, 2015
- A7 Marcin Szeliga, Wysoka dostępność serwerów SQL. Klastry niezawodności infrastruktury, IT professional, 11/2018, p. 28
- A8 Jerzy Michalczyk, Gdy trwoga to do... chmury. Disaster recovery as a Service, IT professional, 9/2018, p. 42-42
- A9 Jarosław Sobel, Przetwarzanie Big Data, IT professional, 9/2018, p. 10
- A10 Pavlo, Andrew & Aslett, Matthew. (2016). What's really new with NewSQL?. ACM SIGMOD Record. 45. 45-55.